Haiyan Zhao
21 papers · 2023–2026 · 8 conferences · across top CS/AI conferences
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Keywords
large language model
(14)
sparse autoencoder
(3)
event reasoning
(3)
benchmark evaluation
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text generation
(2)
multi-task learning
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natural language understanding
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model steering
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medical dialogue
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clinical nlp
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transfer learning
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knowledge representation
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prompt engineering
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multimodal learning
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catastrophic forgetting
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in-context learning
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multilingual nlp
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visual representation
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code generation
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preference learning
(1)
Papers
Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering
EACL 2026
A Comprehensive Evaluation on Event Reasoning of Large Language Models
AAAI 2025
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models
AAAI 2025
Revisit Self-Debugging with Self-Generated Tests for Code Generation
ACL 2025
Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis
ACL 2025
Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
COLING 2025
Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders
EMNLP 2025
A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
EMNLP 2025
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability
EMNLP 2025
ContractEval: Benchmarking LLMs for Clause-Level Legal Risk Identification in Commercial Contracts
EMNLP 2025
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
ICLR 2025
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning
NAACL 2025
Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback
ACL 2024
Detection, Diagnosis, and Explanation: A Benchmark for Chinese Medical Hallucination Evaluation
COLING 2024
Mitigating Shortcuts in Language Models with Soft Label Encoding
COLING 2024
EVIT: Event-Oriented Instruction Tuning for Event Reasoning
ACL 2024
The Impact of Reasoning Step Length on Large Language Models
ACL 2024
Does Continual Learning Equally Forget All Parameters?
ICML 2023
PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning
EMNLP 2023
UniEvent: Unified Generative Model with Multi-Dimensional Prefix for Zero-Shot Event-Relational Reasoning
ACL 2023
SEAG: Structure-Aware Event Causality Generation
ACL 2023